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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 587
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    Explanations

    phrases related to specific social and political issues, such as food insecurity and deportation, often involving specific entities like organizations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social issues, specifically food insecurity and economic aid

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CrossRef
    -0.65
    ONY
    -0.61
    Redditor
    -0.59
    ãĥ³ãĤ¸
    -0.57
     FTC
    -0.56
    ASY
    -0.55
     Vish
    -0.55
    ãĥ´
    -0.54
     Nish
    -0.54
     Hiro
    -0.52
    POSITIVE LOGITS
     clos
    0.60
    meric
    0.60
    Downloadha
    0.60
    their
    0.59
    rees
    0.57
    wealth
    0.56
    astical
    0.54
     perpend
    0.54
     fitness
    0.54
     illegally
    0.53
    Activations Density 0.919%

    No Known Activations