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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. 0-RES-JB
    11. 1575
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    INDEX
    Explanations

    phrases indicating a strong recommendation or urgency

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing necessity or urgency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gam
    -0.58
    hee
    -0.57
     lending
    -0.56
    our
    -0.56
     ink
    -0.56
     Astral
    -0.55
     troubled
    -0.55
    iliated
    -0.55
     coal
    -0.54
     wound
    -0.54
    POSITIVE LOGITS
     MUST
    3.80
     SHOULD
    2.59
     MAY
    1.94
     SHALL
    1.83
    must
    1.82
     NEED
    1.54
     WILL
    1.52
     Must
    1.40
     ALWAYS
    1.38
     must
    1.38
    Activations Density 0.017%

    No Known Activations