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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. 4133
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    Explanations

    mentions of a specific location, "Bell."

    oai_token-act-pair · gpt-3.5-turbo

    the specific phrase "Bell 2."

    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
    rers
    -0.68
    bered
    -0.65
    joining
    -0.64
    visor
    -0.64
    llers
    -0.62
    JD
    -0.58
     DUI
    -0.58
    lling
    -0.58
    liness
    -0.58
    lation
    -0.57
    POSITIVE LOGITS
    amy
    1.23
    ows
    1.18
    ichick
    1.17
    ingham
    1.11
    anca
    1.00
    otti
    0.96
    spr
    0.95
    south
    0.94
    ossom
    0.92
    owed
    0.88
    Activations Density 0.032%

    No Known Activations