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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21363
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    Explanations

    proper nouns related to specific geographical locations, particularly the Bronx

    oai_token-act-pair · gpt-3.5-turbo

    references to locations, particularly focusing on the Bronx and Harlem

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTE
    -0.82
    orthy
    -0.81
    ontent
    -0.81
    aking
    -0.76
    AKING
    -0.76
    akable
    -0.76
    lust
    -0.76
    soType
    -0.75
    neau
    -0.74
    OTT
    -0.73
    POSITIVE LOGITS
    xual
    1.24
     Zoo
    0.99
    erick
    0.80
    cair
    0.78
     Bronx
    0.78
     Clown
    0.70
    plex
    0.69
     boiler
    0.67
    eno
    0.66
     Doodle
    0.65
    Activations Density 0.039%

    No Known Activations