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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. 11092
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    Explanations

    transcription errors in the form of missing or misplaced characters such as 'n' in 'transport'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "trans" or variations thereof

    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
    RANT
    -0.79
    ously
    -0.71
    ARD
    -0.67
     Sunder
    -0.66
     bent
    -0.63
     maker
    -0.63
     prick
    -0.61
     whiff
    -0.61
     Ples
    -0.61
    ARDS
    -0.60
    POSITIVE LOGITS
    cend
    1.33
    parency
    1.20
    mission
    1.19
    lator
    1.17
    lucent
    1.15
    latable
    1.12
    gender
    1.09
    missions
    1.08
    mitt
    1.07
    ferred
    1.06
    Activations Density 0.017%

    No Known Activations