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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. 7-RES-JB
    11. 5161
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    Explanations

    terms related to items or processes that are partially automated

    oai_token-act-pair · gpt-3.5-turbo

    references to semi-professional or semi-automatic entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bats
    -0.83
     guts
    -0.71
     Tycoon
    -0.71
    worthy
    -0.68
    çĦ
    -0.66
     Curve
    -0.65
     Brooks
    -0.63
    flies
    -0.63
     Merchants
    -0.63
    çİĭ
    -0.61
    POSITIVE LOGITS
    lethal
    0.92
    ature
    0.92
     versa
    0.88
    eteen
    0.87
    -)
    0.86
    quel
    0.85
    cedes
    0.85
    adic
    0.84
    atural
    0.83
    vent
    0.78
    Activations Density 0.018%

    No Known Activations