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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. 6-RES-JB
    6. 21532
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    INDEX
    Explanations

    phrases indicating worthiness or value

    oai_token-act-pair · gpt-3.5-turbo

    expressions of subjective opinions about experiences or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avage
    -0.67
    hips
    -0.66
     Passenger
    -0.64
    pta
    -0.63
    lav
    -0.63
    currently
    -0.60
    erved
    -0.60
    stellar
    -0.59
     pockets
    -0.59
     VIEW
    -0.59
    POSITIVE LOGITS
    alian
    1.09
    chy
    1.06
    self
    0.87
    ueller
    0.83
     raining
    0.83
     happens
    0.82
    iner
    0.82
    unes
    0.81
    icult
    0.81
    atic
    0.79
    Activations Density 0.132%

    No Known Activations