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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. 9-RES-JB
    11. 1859
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    Explanations

    recipe ingredients and cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    specific measurements and numerical data related to various contexts such as cooking, performance metrics, and political discussions

    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
    ourney
    -0.52
    unctions
    -0.48
    olls
    -0.46
     wheel
    -0.46
    tones
    -0.46
    lighting
    -0.45
    aith
    -0.45
    leck
    -0.45
    kus
    -0.44
    LOAD
    -0.44
    POSITIVE LOGITS
    }.
    0.63
     accordingly
    0.59
    ĸļ
    0.57
    else
    0.55
    ]).
    0.54
    )).
    0.54
    }"
    0.54
    _.
    0.51
    ).[
    0.51
    ]."
    0.51
    Activations Density 1.233%

    No Known Activations