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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. 0-RES-JB
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    INDEX
    Explanations

    references to the concept of 'Five' that are positive or significant

    oai_token-act-pair · gpt-3.5-turbo

    references to the number five in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    call
    -0.65
    igmat
    -0.63
    UTH
    -0.63
     recip
    -0.63
    amar
    -0.62
     oblig
    -0.58
    ache
    -0.58
    udeb
    -0.58
     confuse
    -0.56
    acial
    -0.56
    POSITIVE LOGITS
     Five
    3.55
    Five
    2.44
     Six
    2.08
     Four
    2.05
     Seven
    2.01
     Three
    1.93
     Nine
    1.79
    five
    1.76
     Fifty
    1.74
     Eight
    1.74
    Activations Density 0.010%

    No Known Activations