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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. 8-RES-JB
    11. 562
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    INDEX
    Explanations

    dates presented in a day-year format

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    locks
    -0.81
    bags
    -0.72
    staking
    -0.71
    gets
    -0.69
    BOOK
    -0.69
    scribe
    -0.68
    holders
    -0.66
    liest
    -0.64
    shock
    -0.63
    bag
    -0.61
    POSITIVE LOGITS
    rd
    2.21
    RD
    1.29
    RF
    0.94
    00
    0.92
    istics
    0.89
    enary
    0.85
    osa
    0.84
    esis
    0.83
    rade
    0.83
    DS
    0.79
    Activations Density 0.148%

    No Known Activations