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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. 377
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    INDEX
    Explanations

    phrases indicating strength, speed, intensity, or significance

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to disappointment or frustration

    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
    catentry
    -0.96
    ilan
    -0.64
    unn
    -0.59
    TN
    -0.58
     actionGroup
    -0.57
    bourg
    -0.54
    çĶ°
    -0.54
    thumbnails
    -0.53
    Ready
    -0.53
    info
    -0.53
    POSITIVE LOGITS
     anymore
    1.11
     nor
    1.10
    nor
    0.86
     unless
    0.81
     whatsoever
    0.79
     nowadays
    0.78
     either
    0.75
    unless
    0.71
     except
    0.64
    EStream
    0.63
    Activations Density 0.908%

    No Known Activations