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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. 6-RES-JB
    11. 856
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    INDEX
    Explanations

    numbers related to specific software functions or operations

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and their associated rankings or indexes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     condol
    -0.76
     Lauder
    -0.68
     Jou
    -0.68
     forfe
    -0.66
     Wiley
    -0.65
     laund
    -0.64
    ktop
    -0.63
    jee
    -0.61
     prick
    -0.61
     Kro
    -0.60
    POSITIVE LOGITS
    igree
    0.76
     <!--
    0.71
    acular
    0.71
    ulas
    0.69
    itect
    0.68
    amphetamine
    0.68
    estamp
    0.67
    SEA
    0.66
    icans
    0.66
    ibia
    0.66
    Activations Density 0.034%

    No Known Activations