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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. 6-RES-JB
    11. 10849
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    Explanations

    phrases related to initiating change or sending messages for grassroots movements

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estate
    -0.65
     Nex
    -0.64
    ield
    -0.63
    PF
    -0.63
     corrid
    -0.62
     Medals
    -0.62
    hest
    -0.61
    ãĤ´
    -0.61
     unlocked
    -0.60
    cca
    -0.60
    POSITIVE LOGITS
     uh
    0.99
     um
    0.87
     albeit
    0.85
     ah
    0.77
    wait
    0.74
     namely
    0.69
    say
    0.68
     respectively
    0.67
    udeb
    0.66
     oh
    0.66
    Activations Density 0.135%

    No Known Activations