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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. 3-RES-JB
    11. 17857
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    INDEX
    Explanations

    phrases related to regret or frustration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to injury or being harmed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orget
    -0.78
    ince
    -0.71
    aida
    -0.66
    capital
    -0.66
    bara
    -0.66
    apse
    -0.66
    posure
    -0.65
    ention
    -0.65
    gres
    -0.64
    stantial
    -0.64
    POSITIVE LOGITS
     alas
    0.70
     corrid
    0.68
     Christy
    0.68
    ãĥĺ
    0.67
     ãĤµ
    0.67
     Crusher
    0.65
     Chong
    0.64
    ãĥĢ
    0.63
     Liang
    0.61
     Ez
    0.61
    Activations Density 0.000%

    No Known Activations