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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. 0-RES-JB
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    Explanations

    mentions of locations such as "NY"

    oai_token-act-pair · gpt-3.5-turbo

    instances of "NY" and references to New York

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atically
    -0.76
     Commands
    -0.74
    âĶĢ
    -0.70
     âĶ
    -0.69
    hap
    -0.68
    ãĥĩãĤ£
    -0.67
    ef
    -0.67
    stall
    -0.66
    âĶĢâĶĢ
    -0.65
    erer
    -0.64
    POSITIVE LOGITS
     NY
    3.61
    NY
    2.45
     NYC
    2.34
     NJ
    2.09
     NYT
    1.95
     NYPD
    1.79
    NJ
    1.71
     NYU
    1.68
     Brooklyn
    1.63
     Bronx
    1.59
    Activations Density 0.012%

    No Known Activations