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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. 19598
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    Explanations

    references to physical or metaphorical spaces

    oai_token-act-pair · gpt-3.5-turbo

    references to physical space or spatial dimensions

    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
    usted
    -0.77
    venge
    -0.73
    stal
    -0.72
    inger
    -0.70
    ãĥīãĥ©
    -0.69
    otine
    -0.65
     vengeance
    -0.65
    iamond
    -0.65
     grades
    -0.63
    rous
    -0.62
    POSITIVE LOGITS
     vacated
    0.93
     occupied
    0.92
     Layout
    0.91
     shuttle
    0.86
     spaces
    0.86
     space
    0.82
     occupancy
    0.82
     heater
    0.80
     constraints
    0.77
     reserved
    0.76
    Activations Density 0.049%

    No Known Activations