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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. 6-RES-JB
    11. 9956
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    INDEX
    Explanations

    words describing characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    nouns and adjectives that create vivid descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Panther
    -0.78
    theless
    -0.66
     PowerPoint
    -0.66
     Accuracy
    -0.64
     Improvement
    -0.63
    Charge
    -0.63
     Wear
    -0.62
     mate
    -0.62
     Origin
    -0.62
    forth
    -0.62
    POSITIVE LOGITS
    itures
    1.13
    acies
    1.12
    icates
    1.05
    ications
    1.02
    ortun
    1.02
    ancies
    1.01
    ials
    1.01
    ues
    0.98
    iae
    0.98
    Ĩ
    0.97
    Activations Density 0.121%

    No Known Activations