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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. 11-RES-JB
    11. 17204
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    Explanations

    statements related to verifying and confirming information

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to verification and assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unless
    -0.64
    ardy
    -0.61
    ager
    -0.58
    looking
    -0.57
     caution
    -0.54
     fringe
    -0.54
    .")
    -0.53
     mourning
    -0.53
    een
    -0.53
    auder
    -0.53
    POSITIVE LOGITS
    âĢ
    0.88
    (*
    0.80
    ãĢ
    0.79
     correctly
    0.78
    Firstly
    0.77
    âĹ
    0.76
    *,
    0.74
     âĢ
    0.71
    /,
    0.71
    â
    0.70
    Activations Density 0.675%

    No Known Activations