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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. 7-RES-JB
    11. 209
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    Explanations

    locations followed by specific years

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Desk
    -0.64
     assures
    -0.63
    HQ
    -0.62
    acebook
    -0.61
    %:
    -0.61
    heet
    -0.60
    henko
    -0.60
    USB
    -0.59
    anamo
    -0.58
     concedes
    -0.58
    POSITIVE LOGITS
     southwestern
    0.80
     autumn
    0.77
    clusions
    0.76
     September
    0.76
     footh
    0.76
     situ
    0.74
     1896
    0.74
     1893
    0.74
    vironment
    0.74
     August
    0.73
    Activations Density 0.204%

    No Known Activations