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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of the location "Hamilton" followed by a numerical value, often describing a competition or event

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Hamilton"

    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
    ramid
    -0.89
    lihood
    -0.81
    vg
    -0.79
    unal
    -0.78
    scription
    -0.73
    RAM
    -0.73
    hl
    -0.69
    historic
    -0.69
    isSpecialOrderable
    -0.68
    lect
    -0.67
    POSITIVE LOGITS
    Hamilton
    0.88
     Hamilton
    0.85
    pton
    0.84
    enburg
    0.82
     Gardens
    0.76
     Place
    0.76
    igans
    0.75
    enberg
    0.73
     Heights
    0.71
     Beckham
    0.71
    Activations Density 0.009%

    No Known Activations