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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. 2300
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    Explanations

    phrases related to skin conditions or intense actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rash"

    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
    anooga
    -1.07
    igree
    -0.75
    ractor
    -0.73
    atem
    -0.69
     barr
    -0.69
     hamm
    -0.69
     tractor
    -0.69
    ships
    -0.68
    ickson
    -0.67
    rican
    -0.66
    POSITIVE LOGITS
    JC
    0.83
    vana
    0.80
     rash
    0.80
    vy
    0.76
    çīĪ
    0.74
    guards
    0.74
    brush
    0.73
    ulz
    0.70
    guard
    0.69
    chal
    0.69
    Activations Density 0.021%

    No Known Activations