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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
    11. 11185
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    INDEX
    Explanations

    instances of the word "hin" with varying intensities of activation

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or entities

    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
     Seym
    -0.76
    enance
    -0.66
    lain
    -0.65
    kward
    -0.63
    ħ
    -0.57
     Clicker
    -0.57
    hovah
    -0.57
     Belief
    -0.57
     craft
    -0.56
     destro
    -0.56
    POSITIVE LOGITS
    strument
    1.23
    ned
    1.18
    osaurs
    1.16
    jury
    1.11
    ners
    1.10
    ovie
    1.05
    ergic
    1.02
    eman
    0.96
    ning
    0.94
    othal
    0.94
    Activations Density 0.026%

    No Known Activations