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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. 20220
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    INDEX
    Explanations

    mentions of events, situations, or topics described in an explanatory or factual context

    oai_token-act-pair · gpt-3.5-turbo

    the word "There," indicating the introduction of statements or facts

    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
     CJ
    -0.81
     pound
    -0.71
     ±
    -0.71
     actionGroup
    -0.68
     franc
    -0.66
     cum
    -0.64
     beans
    -0.61
     favour
    -0.60
     cogn
    -0.60
     correct
    -0.60
    POSITIVE LOGITS
    abouts
    1.33
    upon
    1.13
    ngth
    0.92
    fore
    0.88
    FORE
    0.79
    olkien
    0.79
    after
    0.78
    ntil
    0.78
    nsic
    0.76
     guiActiveUn
    0.76
    Activations Density 0.101%

    No Known Activations