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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. 22923
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    Explanations

    phrases containing compound words separated by a hyphen

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing political solutions or concepts involving two-part systems

    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
     BDS
    -0.65
    ulhu
    -0.64
     Gillespie
    -0.64
     Canaver
    -0.64
    ANE
    -0.59
     Richards
    -0.59
     Clyde
    -0.58
     Seah
    -0.58
     Lovecraft
    -0.57
    heit
    -0.57
    POSITIVE LOGITS
    thirds
    1.69
    fif
    1.16
    dimensional
    1.13
     thirds
    1.13
    handed
    1.12
    dozen
    1.12
    hander
    1.11
    legged
    1.09
    digit
    1.09
    footed
    1.05
    Activations Density 0.045%

    No Known Activations