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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. 2-RES-JB
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    Explanations

    references to press conferences or statements made during them

    oai_token-act-pair · gpt-3.5-turbo

    mentions of press conferences and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.78
    razil
    -0.65
     Nicaragua
    -0.63
     Bram
    -0.61
     Salvador
    -0.61
     Sponge
    -0.61
     Raymond
    -0.61
    beit
    -0.60
     Trayvon
    -0.60
    ston
    -0.60
    POSITIVE LOGITS
    press
    0.92
    urized
    0.90
     press
    0.85
     presses
    0.82
    ariat
    0.81
     conference
    0.79
    roth
    0.78
    conference
    0.77
     aggregation
    0.76
     conferences
    0.76
    Activations Density 0.021%

    No Known Activations