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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. 7-RES-JB
    11. 17866
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    Explanations

    phrases related to changes or developments happening over time

    oai_token-act-pair · gpt-3.5-turbo

    references to the passage of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLUD
    -0.76
    minster
    -0.72
    awan
    -0.71
    Bey
    -0.68
     Parties
    -0.66
    iao
    -0.65
    CEPT
    -0.65
    mosp
    -0.65
     Hats
    -0.64
    emen
    -0.64
    POSITIVE LOGITS
    frames
    1.07
     periods
    1.04
     iterations
    0.91
     generations
    0.81
     horizon
    0.79
     continuum
    0.77
     cycles
    0.77
     conditioning
    0.74
     period
    0.71
    frame
    0.70
    Activations Density 0.044%

    No Known Activations