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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. 4-RES-JB
    11. 4852
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    phrases related to identification

    oai_token-act-pair · gpt-3.5-turbo

    terms related to identification and documentation

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

    No Comments

    Negative Logits
    hest
    -0.88
    mic
    -0.80
    roc
    -0.79
    roll
    -0.75
    shape
    -0.75
    stant
    -0.74
    ordinate
    -0.73
    wind
    -0.72
    rop
    -0.71
    lins
    -0.71
    POSITIVE LOGITS
     identification
    0.83
    anguage
    0.82
     authorization
    0.78
    ary
    0.78
     Assistance
    0.77
     scheme
    0.77
    eering
    0.76
     acknowledgement
    0.76
     Authorization
    0.75
     schemes
    0.74
    Activations Density 0.035%

    No Known Activations