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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. 4-RES-JB
    11. 7858
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    INDEX
    Explanations

    mentions of transit-related terms and topics

    oai_token-act-pair · gpt-3.5-turbo

    references to public transportation systems

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

    No Comments

    Negative Logits
     Ole
    -0.68
    ividual
    -0.68
    ongs
    -0.67
    Alien
    -0.65
    gling
    -0.65
    ubi
    -0.65
    oln
    -0.65
    eanor
    -0.64
    resy
    -0.64
     disse
    -0.63
    POSITIVE LOGITS
     transit
    0.93
     hubs
    0.87
    ory
    0.85
     hub
    0.82
     Corridor
    0.81
     Transit
    0.80
     depot
    0.80
    roads
    0.80
     Facilities
    0.80
     commuting
    0.76
    Activations Density 0.010%

    No Known Activations