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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. 16490
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    Explanations

    references to podcasts or podcast-related content

    oai_token-act-pair · gpt-3.5-turbo

    references to podcasts

    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
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    No Comments

    Negative Logits
    metics
    -0.73
    forces
    -0.65
    axy
    -0.64
    enes
    -0.64
    illard
    -0.64
    ju
    -0.63
    arde
    -0.63
    Downloadha
    -0.63
    lda
    -0.62
     curv
    -0.61
    POSITIVE LOGITS
     listeners
    1.10
    odcast
    1.02
     podcasts
    1.01
    podcast
    0.95
     listener
    0.95
     podcast
    0.92
     episode
    0.89
    Episode
    0.89
    estern
    0.84
     transcript
    0.84
    Activations Density 0.036%

    No Known Activations