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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. 10081
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    Explanations

    phrases related to changes or events happening to characters or entities

    oai_token-act-pair · gpt-3.5-turbo

    past tense verbs and actions related to change or decline

    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
     therefore
    -0.68
     âĶľâĶĢâĶĢ
    -0.65
     stems
    -0.59
    inar
    -0.58
     âĶľ
    -0.58
     belongs
    -0.57
     ISO
    -0.56
    WHERE
    -0.55
    æĺ¯
    -0.54
    TPPStreamerBot
    -0.54
    POSITIVE LOGITS
     unexpectedly
    0.95
     mysteriously
    0.82
     abruptly
    0.81
     theirs
    0.79
     inexpl
    0.78
     suddenly
    0.71
     prematurely
    0.69
     unchecked
    0.65
    Reviewer
    0.65
    ickets
    0.64
    Activations Density 0.649%

    No Known Activations