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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. 6-RES-JB
    11. 21941
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    INDEX
    Explanations

    transcripts of conversations or speeches

    oai_token-act-pair · gpt-3.5-turbo

    mentions of transcripts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pton
    -0.72
    zzle
    -0.72
    yu
    -0.71
    dream
    -0.68
    vil
    -0.66
    ++++++++++++++++
    -0.65
     Slug
    -0.65
    ggle
    -0.64
    erno
    -0.64
     Bengal
    -0.63
    POSITIVE LOGITS
     transcripts
    1.13
     transcript
    1.12
     Transcript
    1.11
     transcription
    1.04
    ions
    0.96
    ophone
    0.87
     snippets
    0.86
     excerpts
    0.78
     recordings
    0.78
    ophon
    0.78
    Activations Density 0.030%

    No Known Activations