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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. 2-RES-JB
    11. 23365
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    INDEX
    Explanations

    the abbreviation "ult" or "pragmat" along with suffixes

    oai_token-act-pair · gpt-3.5-turbo

    references to ultimate or final events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paces
    -0.79
    Footnote
    -0.79
    ãģĦ
    -0.73
    STEM
    -0.70
    washing
    -0.69
    Guest
    -0.69
    asley
    -0.68
    ////////////////////////////////
    -0.67
    ×ķ
    -0.67
    veyard
    -0.65
    POSITIVE LOGITS
    imates
    1.31
    raviolet
    1.19
    iple
    0.93
    itud
    0.92
    imum
    0.90
     ult
    0.90
    rav
    0.90
    iques
    0.88
    imus
    0.88
    ima
    0.84
    Activations Density 0.006%

    No Known Activations