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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. 8-RES-JB
    11. 23784
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    Explanations

    terms related to impactful or significant concepts or items

    oai_token-act-pair · gpt-3.5-turbo

    themes related to policies, storytelling, and structured elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atorium
    -0.79
    ãĤ¨ãĥ«
    -0.67
    REDACTED
    -0.65
    iversary
    -0.63
    KNOWN
    -0.59
    same
    -0.59
    Temperature
    -0.59
    liest
    -0.58
     Wonderland
    -0.57
    iest
    -0.57
    POSITIVE LOGITS
    hips
    1.27
    poons
    1.15
    paces
    1.13
    mith
    1.09
    hip
    1.05
    manship
    1.03
    cale
    1.03
    uits
    1.02
    pring
    1.00
    pace
    0.98
    Activations Density 0.574%

    No Known Activations