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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. 8-RES-JB
    11. 12481
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    INDEX
    Explanations

    proper nouns or names, possibly related to current affairs or events

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific team or group in a competitive or organized context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.74
     Flavoring
    -0.72
    gencies
    -0.69
    ibli
    -0.66
    Quantity
    -0.65
     Centauri
    -0.64
     âĢİ
    -0.63
    zees
    -0.63
     Travels
    -0.62
    sg
    -0.61
    POSITIVE LOGITS
     subsequently
    1.26
     ensued
    1.18
    sequently
    1.17
     resulted
    1.13
     eventually
    1.07
     later
    1.04
     thereafter
    1.00
    later
    0.99
     culminated
    0.99
     ensuing
    0.98
    Activations Density 1.178%

    No Known Activations