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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. 1-RES-JB
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    INDEX
    Explanations

    mentions of abbreviations or acronyms 'ND'

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "ND" and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plex
    -0.90
    pell
    -0.76
    hold
    -0.76
    bee
    -0.75
    addons
    -0.69
    raltar
    -0.69
    models
    -0.68
    objects
    -0.67
    per
    -0.67
    prime
    -0.65
    POSITIVE LOGITS
    ND
    1.29
    ependent
    0.92
    rint
    0.83
    epend
    0.83
     ND
    0.81
    ENSE
    0.79
    ividual
    0.78
    ocument
    0.76
    FU
    0.73
    eus
    0.72
    Activations Density 0.005%

    No Known Activations