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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
    11. 11174
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    Explanations

    numbers related to seats or capacities

    oai_token-act-pair · gpt-3.5-turbo

    references to seating arrangements and capacity

    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
    ivation
    -0.88
    ifiable
    -0.75
    arij
    -0.74
    icult
    -0.74
    usalem
    -0.68
    ivating
    -0.67
    agi
    -0.67
    ogl
    -0.66
    ivated
    -0.66
    ivia
    -0.65
    POSITIVE LOGITS
    lihood
    1.12
    seat
    0.91
    ĪĴ
    0.86
    chair
    0.84
     wip
    0.79
    qt
    0.73
    BSD
    0.71
    door
    0.71
    rette
    0.68
    manship
    0.67
    Activations Density 0.032%

    No Known Activations