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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 13185
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to actions, measures, and entities in a technical or procedural context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ«
    -0.70
    ĪĴ
    -0.70
    pta
    -0.63
    ertain
    -0.57
     srf
    -0.57
    avage
    -0.56
    ados
    -0.56
    ategory
    -0.56
     guest
    -0.55
    inas
    -0.55
    POSITIVE LOGITS
     anew
    0.99
     herself
    0.98
     itself
    0.96
     himself
    0.96
     myself
    0.92
     anonymously
    0.89
     aloud
    0.89
     willingly
    0.87
     prematurely
    0.86
     responsibly
    0.86
    Activations Density 0.364%

    No Known Activations