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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. 4-RES-JB
    11. 4036
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    Explanations

    mentions of commentary or opinions on various topics

    oai_token-act-pair · gpt-3.5-turbo

    various forms of commentary, particularly analysis and critique of events or media

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

    No Comments

    Negative Logits
    rir
    -0.66
    bis
    -0.66
    wikipedia
    -0.65
    por
    -0.65
    locked
    -0.65
    riages
    -0.64
    luck
    -0.64
    negie
    -0.61
    chen
    -0.61
    rice
    -0.61
    POSITIVE LOGITS
     commentary
    0.98
    jad
    0.79
    spection
    0.78
    atures
    0.73
     guiActiveUn
    0.71
    mund
    0.69
    spective
    0.68
    ariat
    0.68
    ature
    0.68
    raint
    0.67
    Activations Density 0.019%

    No Known Activations