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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. 15420
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    Explanations

    references to various corporations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various corporations

    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
    ĺħ
    -0.73
    rose
    -0.72
    ppings
    -0.68
    req
    -0.68
    lyn
    -0.67
    eful
    -0.66
    imm
    -0.66
    adow
    -0.66
    ĻĤ
    -0.65
    joy
    -0.65
    POSITIVE LOGITS
    wide
    0.98
    oreal
    0.98
    ridor
    0.93
    orporated
    0.88
    orpor
    0.87
    redits
    0.86
     Counsel
    0.85
     Headquarters
    0.84
     headquartered
    0.80
    rador
    0.80
    Activations Density 0.016%

    No Known Activations