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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. 1-RES-JB
    11. 8901
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    Explanations

    phrases indicating a conclusion or result

    oai_token-act-pair · gpt-3.5-turbo

    statements introducing conclusions or logical deductions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ten
    -0.62
     AAA
    -0.62
    anders
    -0.59
    management
    -0.55
     brass
    -0.55
     branded
    -0.55
    isable
    -0.53
    brand
    -0.53
     Colombian
    -0.53
    "},"
    -0.53
    POSITIVE LOGITS
    mite
    0.76
    fter
    0.76
    forward
    0.72
     guiActiveUn
    0.71
    ————
    0.70
     rall
    0.70
    rely
    0.69
     Takeru
    0.69
    hester
    0.69
    bered
    0.68
    Activations Density 0.005%

    No Known Activations