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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. 9-RES-JB
    11. 3703
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    Explanations

    words related to furniture and household items, particularly beds

    oai_token-act-pair · gpt-3.5-turbo

    references to beds and bedding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arily
    -0.77
    £ı
    -0.75
    İĭ
    -0.73
    rencies
    -0.65
    phies
    -0.64
    auga
    -0.63
     lockout
    -0.63
    vernment
    -0.62
     Galile
    -0.62
    ãĥ£
    -0.61
    POSITIVE LOGITS
    ding
    1.35
    ridden
    1.18
    stead
    1.14
    spread
    1.13
    ded
    1.12
    lam
    1.11
    rock
    1.10
    side
    1.09
    rooms
    1.04
    room
    1.02
    Activations Density 0.044%

    No Known Activations