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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. 9-RES-JB
    11. 2882
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    Explanations

    the word "a" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "quite a" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ultimate
    -0.84
    iard
    -0.74
    iar
    -0.70
    ORTS
    -0.67
    elected
    -0.66
    igi
    -0.65
    IED
    -0.65
    0000000
    -0.65
    REDACTED
    -0.65
    peak
    -0.64
    POSITIVE LOGITS
     bit
    1.14
     lot
    0.90
     few
    0.86
     hefty
    0.86
     haul
    0.82
     chunk
    0.81
     turnaround
    0.81
     fuss
    0.80
     coincidence
    0.78
     feat
    0.78
    Activations Density 0.043%

    No Known Activations