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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. 1-RES-JB
    11. 2414
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    Explanations

    mentions of the word "cos" with varying degrees of emphasis, potentially related to cosmetics or abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "cosmos" or related astronomical themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shed
    -0.67
    è¦ļéĨĴ
    -0.67
     Bedford
    -0.63
     Churchill
    -0.62
    OUT
    -0.62
     shed
    -0.61
     Chamberlain
    -0.61
     Nottingham
    -0.59
     Buckingham
    -0.58
     Lans
    -0.58
    POSITIVE LOGITS
    cos
    1.35
    metic
    1.28
    metics
    1.19
    mic
    0.99
    atell
    0.96
    entric
    0.93
     horizont
    0.89
    mopolitan
    0.87
    cano
    0.86
    cas
    0.84
    Activations Density 0.006%

    No Known Activations