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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
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    Explanations

    the word "hammer" or related words like "hammering" at varying strengths

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of the word "hammer."

    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
    RIP
    -0.80
    otes
    -0.79
    cius
    -0.77
     Charity
    -0.74
     Surviv
    -0.72
    yon
    -0.72
     Volunte
    -0.71
    ITIES
    -0.71
    lus
    -0.70
    say
    -0.70
    POSITIVE LOGITS
     hammer
    1.08
    sonian
    0.99
     hammered
    0.95
     hamm
    0.93
    heads
    0.89
    head
    0.83
     wrench
    0.83
    matical
    0.82
    bats
    0.79
     blow
    0.78
    Activations Density 0.012%

    No Known Activations