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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. 8-RES-JB
    11. 24426
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    INDEX
    Explanations

    expressions related to enjoying, liking, or subscribing to content

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enjoyment or recommendation for content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cooldown
    -0.73
    Center
    -0.63
     attest
    -0.61
    URA
    -0.61
    ãģ®éŃĶ
    -0.60
     istg
    -0.60
     Acqu
    -0.60
    çĶ°
    -0.60
     suicides
    -0.59
     fame
    -0.58
    POSITIVE LOGITS
    endum
    0.76
    yip
    0.70
    iked
    0.67
    ktop
    0.66
     reading
    0.65
    ————
    0.64
     Flavoring
    0.64
    anson
    0.63
    ebin
    0.62
    rawdownloadcloneembedreportprint
    0.61
    Activations Density 0.117%

    No Known Activations