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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. 4-RES-JB
    11. 24025
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    Explanations

    proper nouns, such as names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and places

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

    No Comments

    Negative Logits
    acity
    -0.92
    icago
    -0.91
    aciously
    -0.88
    itatively
    -0.80
    anamo
    -0.75
    acious
    -0.74
    pmwiki
    -0.74
    onym
    -0.73
    á¹
    -0.73
    IFIED
    -0.72
    POSITIVE LOGITS
    stick
    0.84
     smoker
    0.75
    sticks
    0.75
     peg
    0.73
    anut
    0.70
     stick
    0.68
    AX
    0.67
    rite
    0.67
     Jou
    0.66
     Revel
    0.64
    Activations Density 0.028%

    No Known Activations