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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 16011
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    Explanations

    proper nouns and titles

    oai_token-act-pair · gpt-3.5-turbo

    instances of direct statements or assertions

    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
    Enlarge
    -1.26
    -'
    -0.79
    Flickr
    -0.76
    '-
    -0.76
    Via
    -0.74
    Exit
    -0.73
    ono
    -0.72
    Ct
    -0.71
    / 
    -0.71
    toggle
    -0.70
    POSITIVE LOGITS
     cannot
    1.13
     will
    0.83
     must
    0.79
     learnt
    0.76
     cant
    0.76
     can
    0.75
     may
    0.74
     is
    0.73
     conclud
    0.72
     envis
    0.71
    Activations Density 0.410%

    No Known Activations