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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. 1-RES-JB
    11. 21101
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    Explanations

    words related to processes involving filtration or selective separation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rates and processes of transformation or change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.60
    ilts
    -0.59
    udeb
    -0.59
    bys
    -0.59
    \\\\\\\\
    -0.58
    Prev
    -0.58
     umb
    -0.58
    ãĥİ
    -0.57
    UV
    -0.55
     diapers
    -0.55
    POSITIVE LOGITS
    ration
    1.47
    xual
    1.11
    hower
    1.03
    rations
    1.01
    rating
    0.87
    ally
    0.86
    mble
    0.84
    xit
    0.82
    staking
    0.80
    abwe
    0.76
    Activations Density 0.017%

    No Known Activations