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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. 16932
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    INDEX
    Explanations

    conditional statements indicating possibilities or potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs that express possibility or hypothetical situations

    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
    senal
    -0.73
     Odyssey
    -0.62
    Introduced
    -0.61
     Returning
    -0.59
     attempting
    -0.59
    getting
    -0.58
     practicing
    -0.58
     Kem
    -0.56
    tracking
    -0.56
     intent
    -0.56
    POSITIVE LOGITS
     raining
    1.08
     beh
    1.08
     happen
    0.99
     transpired
    0.85
     dawn
    0.84
     matter
    0.80
    iner
    0.79
     happened
    0.77
     unclear
    0.75
     rains
    0.73
    Activations Density 0.214%

    No Known Activations