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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. 4-RES-JB
    11. 2245
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    INDEX
    Explanations

    specific circumstances or situations described in a text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to specific contextual situations or conditions

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

    No Comments

    Negative Logits
    rik
    -0.77
    roe
    -0.76
    hammad
    -0.73
    acker
    -0.73
    inis
    -0.72
    sonian
    -0.71
    cott
    -0.71
    iel
    -0.70
    tein
    -0.69
    imilation
    -0.68
    POSITIVE LOGITS
     circumstances
    1.19
     permitting
    0.81
     surrounding
    0.80
    pring
    0.80
    uations
    0.80
     circumstance
    0.79
     situations
    0.79
    uating
    0.77
     transpired
    0.76
     contexts
    0.76
    Activations Density 0.014%

    No Known Activations