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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. 10-RES-JB
    11. 24070
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    Explanations

    mentions of technology related terms and abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    instances of capitalized words and acronyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     enactment
    -0.71
    ACTED
    -0.67
     exception
    -0.65
    ĸļ
    -0.63
     caucuses
    -0.63
     scrut
    -0.63
    ħĭ
    -0.62
     refere
    -0.61
     subscribing
    -0.60
     RCMP
    -0.59
    POSITIVE LOGITS
    raltar
    1.06
    ierrez
    0.98
    vernment
    0.97
    ppe
    0.94
    apon
    0.93
    agall
    0.88
    onz
    0.88
    gio
    0.87
    reau
    0.86
    apons
    0.85
    Activations Density 0.135%

    No Known Activations