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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. 3686
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    INDEX
    Explanations

    instances where there is a repetition or recurrence of certain events or actions

    oai_token-act-pair · gpt-3.5-turbo

    the concept of repetition or recurring themes

    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
    uana
    -0.85
    sie
    -0.76
    isu
    -0.71
    ffe
    -0.70
    icial
    -0.69
    IAS
    -0.68
    enium
    -0.66
    tics
    -0.65
    ofi
    -0.64
    orea
    -0.64
    POSITIVE LOGITS
     playthrough
    0.93
     offenders
    0.91
    lly
    0.90
     offender
    0.88
    ability
    0.84
     repeats
    0.81
     occurrences
    0.80
     repeat
    0.77
     repetition
    0.74
    ably
    0.74
    Activations Density 0.053%

    No Known Activations