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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. 7-RES-JB
    11. 11676
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    Explanations

    proper nouns, such as names of individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and brands involved in discussions or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estone
    -0.66
     Ronaldo
    -0.64
    itutional
    -0.63
    matic
    -0.61
    nesses
    -0.61
    dinand
    -0.61
     Crist
    -0.61
     Portug
    -0.60
     Madagascar
    -0.59
    aghetti
    -0.59
    POSITIVE LOGITS
    icals
    1.02
    =/
    0.74
    bda
    0.72
    ieri
    0.72
    chell
    0.69
    bard
    0.68
    sbm
    0.68
    naires
    0.68
     thumb
    0.67
     Kushner
    0.66
    Activations Density 0.063%

    No Known Activations