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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. 14437
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    INDEX
    Explanations

    specific symbols and formatting indications in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    information related to amenities and services in a commercial setting

    oai_token-act-pair · gpt-3.5-turbo
    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
     spons
    -0.79
    irez
    -0.74
    ortium
    -0.73
     contracted
    -0.71
    ascus
    -0.71
    usalem
    -0.67
     sacked
    -0.67
    ospons
    -0.67
    othal
    -0.67
    psey
    -0.66
    POSITIVE LOGITS
    notations
    0.85
     Dragonbound
    0.82
    ities
    0.73
     Subtle
    0.71
    clusions
    0.71
    deals
    0.71
    rencies
    0.71
    enough
    0.71
    Medium
    0.70
    yes
    0.69
    Activations Density 0.531%

    No Known Activations