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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. 2-RES-JB
    11. 23545
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    Explanations

    programming syntax related tokens

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific underscored or placeholder text elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eteria
    -0.76
     Pearce
    -0.74
    quished
    -0.73
     Levine
    -0.73
    atform
    -0.68
     Survivors
    -0.68
     Manson
    -0.68
     Ago
    -0.67
    swick
    -0.67
     Frazier
    -0.65
    POSITIVE LOGITS
    dict
    1.06
    default
    1.01
    chance
    1.01
    blank
    0.98
    delay
    0.92
    medium
    0.91
    tro
    0.91
    EStreamFrame
    0.89
    settings
    0.88
    state
    0.88
    Activations Density 0.028%

    No Known Activations