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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. 1900
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    INDEX
    Explanations

    phrases related to success or achievement

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "make it" in various contexts

    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
    idth
    -0.65
     ACTIONS
    -0.63
    othing
    -0.59
     microphones
    -0.56
     Balloon
    -0.56
     Deaths
    -0.56
    wcsstore
    -0.56
     attachments
    -0.55
     Harris
    -0.55
    ":["
    -0.55
    POSITIVE LOGITS
    unes
    0.88
    ueller
    0.79
    self
    0.79
    chwitz
    0.78
    chy
    0.77
    iner
    0.73
    alia
    0.72
    ilib
    0.71
     faire
    0.71
    atic
    0.69
    Activations Density 0.083%

    No Known Activations