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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. 11-RES-JB
    11. 22215
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    Explanations

    phrases emphasizing a contrast or showcasing the speaker's opinion

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the phrase "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    姫
    -0.74
    Footnote
    -0.67
    rees
    -0.67
    Dialogue
    -0.66
    Dialog
    -0.64
    neum
    -0.63
    wcsstore
    -0.63
    OUND
    -0.61
    Liber
    -0.61
    OLOG
    -0.61
    POSITIVE LOGITS
     way
    1.20
     much
    1.10
     easy
    1.07
     simple
    1.05
     bad
    0.95
     far
    0.94
    much
    0.92
     kind
    0.90
     badly
    0.88
     drastic
    0.87
    Activations Density 0.091%

    No Known Activations