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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
    11. 14305
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    Explanations

    formats and file types

    oai_token-act-pair · gpt-3.5-turbo

    references to various formats, particularly in a digital context

    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
    roma
    -0.85
    yer
    -0.81
    undai
    -0.77
    riv
    -0.74
    rogen
    -0.72
    hood
    -0.72
    ortium
    -0.71
    doms
    -0.70
    akening
    -0.70
    atana
    -0.69
    POSITIVE LOGITS
     format
    1.30
     formats
    1.10
     Format
    1.04
    format
    1.01
    Format
    0.92
     formatted
    0.84
     formatting
    0.79
    ters
    0.79
    atted
    0.78
    FORM
    0.76
    Activations Density 0.009%

    No Known Activations