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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. 3409
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    Explanations

    transcripts or mentions of transcripts

    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 @ 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
    Magikarp
    -0.78
    ndra
    -0.72
    ño
    -0.70
    yu
    -0.70
    jri
    -0.68
    pton
    -0.64
    zzle
    -0.62
     Derby
    -0.61
     Emirates
    -0.60
     Spice
    -0.60
    POSITIVE LOGITS
    ions
    1.01
     transcription
    0.96
    ophone
    0.92
     transcript
    0.90
     transcripts
    0.88
     Transcript
    0.86
     taped
    0.85
    ural
    0.85
    ographer
    0.83
     snippets
    0.80
    Activations Density 0.049%

    No Known Activations