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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. 6062
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    Explanations

    proper nouns related to a specific geographical location, specifically the city of Bellingham

    oai_token-act-pair · gpt-3.5-turbo

    references to the entity "Bell"

    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
    visor
    -0.75
    EEE
    -0.72
    /-
    -0.71
    LEASE
    -0.66
    REDACTED
    -0.66
    esthetic
    -0.66
    joining
    -0.65
    bered
    -0.64
    rers
    -0.64
    JD
    -0.63
    POSITIVE LOGITS
    ingham
    1.02
    ows
    0.99
    amy
    0.99
    ichick
    0.97
    bone
    0.93
    ength
    0.84
    otti
    0.84
    ibur
    0.83
    iard
    0.80
    ingen
    0.78
    Activations Density 0.007%

    No Known Activations