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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 22212
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    Explanations

    proper nouns, likely related to locations or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places and organizations

    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
    oute
    -0.72
    verson
    -0.71
     Canaver
    -0.68
    DERR
    -0.67
     variance
    -0.66
    ullivan
    -0.65
    Denver
    -0.64
    wt
    -0.64
    Reilly
    -0.64
    irrel
    -0.63
    POSITIVE LOGITS
     Province
    1.24
    ESE
    1.11
    istan
    1.08
     Islands
    1.06
     Region
    1.06
     province
    1.06
    shire
    1.04
     Peninsula
    1.03
    ese
    1.02
     peninsula
    1.02
    Activations Density 0.251%

    No Known Activations