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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. 3-RES-JB
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    Explanations

    mentions of roads or road-related activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "road"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.75
     Wong
    -0.72
     homegrown
    -0.69
    ority
    -0.66
    ulu
    -0.66
    arians
    -0.65
    lations
    -0.65
     Mons
    -0.64
    illian
    -0.63
     Hots
    -0.62
    POSITIVE LOGITS
    blocks
    1.14
    block
    1.09
    ways
    1.06
    lane
    0.91
    trip
    0.90
    fare
    0.90
    road
    0.90
     roads
    0.89
     road
    0.87
    stead
    0.86
    Activations Density 0.017%

    No Known Activations