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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. 10150
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    Explanations

    numerical values relating to data points

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "at" followed by numerical values

    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
    wash
    -0.70
    hester
    -0.70
    Tact
    -0.70
    alogue
    -0.69
    llo
    -0.68
    arch
    -0.67
    Lens
    -0.66
    atto
    -0.66
    ctor
    -0.65
    hya
    -0.65
    POSITIVE LOGITS
     least
    1.07
     halftime
    0.87
    onement
    0.82
     {:
    0.82
     dusk
    0.80
     approx
    0.79
    abase
    0.79
     1600
    0.77
     variance
    0.77
     midnight
    0.76
    Activations Density 0.091%

    No Known Activations