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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. 7676
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    Explanations

    references to self or personal actions and decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to self-directed actions and personal accountability

    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
    olid
    -0.80
    emis
    -0.73
    heny
    -0.73
    ropolitan
    -0.72
    vals
    -0.72
     Mub
    -0.70
     Syndicate
    -0.69
    */(
    -0.69
    rought
    -0.69
    onite
    -0.65
    POSITIVE LOGITS
     underwater
    0.68
     confessed
    0.66
     prev
    0.65
     manslaughter
    0.65
    imei
    0.64
    ãģ§
    0.64
    ħĭ
    0.63
     mate
    0.63
     acquainted
    0.63
     creatively
    0.62
    Activations Density 0.042%

    No Known Activations