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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. 7-RES-JB
    11. 216
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    Explanations

    references to trains

    oai_token-act-pair · gpt-3.5-turbo

    references to trains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.79
    osi
    -0.71
    cised
    -0.67
    laus
    -0.66
    monds
    -0.66
    theless
    -0.66
     Sphere
    -0.65
     pop
    -0.63
    metics
    -0.62
    ricular
    -0.60
    POSITIVE LOGITS
    wreck
    1.14
     conductor
    0.99
    loads
    0.96
    roads
    0.95
     trains
    0.91
    ings
    0.87
    ees
    0.86
     locom
    0.82
     Tracks
    0.81
     timet
    0.80
    Activations Density 0.028%

    No Known Activations