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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. 3-RES-JB
    11. 15305
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    INDEX
    Explanations

    phrases related to specific names, potentially locations or people

    oai_token-act-pair · gpt-3.5-turbo

    names of people and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cale
    -0.83
     exha
    -0.70
    etheus
    -0.69
    agher
    -0.69
    cffff
    -0.69
    ipolar
    -0.67
    itable
    -0.67
     obser
    -0.65
     retri
    -0.64
     flares
    -0.61
    POSITIVE LOGITS
    nik
    0.97
    ulkan
    0.97
    ierrez
    0.93
    tle
    0.88
    cheon
    0.88
    ting
    0.87
    chens
    0.86
    ty
    0.86
    ledge
    0.81
    abase
    0.80
    Activations Density 0.016%

    No Known Activations