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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. 0-RES-JB
    11. 12342
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    Explanations

    phrases related to audience or crowd reactions, such as standing ovations and standing applause

    oai_token-act-pair · gpt-3.5-turbo

    words related to salvation and rescue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hamm
    -0.80
    soDeliveryDate
    -0.67
    ulative
    -0.66
    canon
    -0.65
    Closure
    -0.65
     Kamp
    -0.64
     FW
    -0.63
     charism
    -0.62
    ileaks
    -0.61
    =~=~
    -0.61
    POSITIVE LOGITS
    vation
    3.22
    bred
    2.04
    jit
    1.97
    bane
    1.34
    keley
    1.14
    tarian
    1.13
    done
    1.13
    baugh
    1.12
    jee
    1.00
    bard
    0.90
    Activations Density 0.042%

    No Known Activations