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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. 3-RES-JB
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    Explanations

    instances of the word "hammer"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "hammer" and its various uses in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ected
    -0.73
    ection
    -0.71
    resp
    -0.70
    rees
    -0.69
     Surveillance
    -0.68
    VICE
    -0.68
    otes
    -0.67
    omal
    -0.67
     Surviv
    -0.67
    say
    -0.67
    POSITIVE LOGITS
     hammer
    1.14
    sonian
    1.00
     hammered
    0.97
    hammer
    0.91
    bats
    0.88
     hamm
    0.85
    heads
    0.81
    matical
    0.80
     Hammer
    0.80
     nails
    0.79
    Activations Density 0.011%

    No Known Activations