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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 6023
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    INDEX
    Explanations

    names containing the pattern 'ardy' or 'andowski'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alach
    -0.76
    ropolitan
    -0.76
    akespe
    -0.70
    aeda
    -0.70
    uyomi
    -0.68
    orers
    -0.67
     srf
    -0.66
    onyms
    -0.65
    undai
    -0.65
     iv
    -0.65
    POSITIVE LOGITS
    ardy
    1.12
    bage
    0.83
    gaard
    0.74
    backs
    0.74
    ener
    0.74
    keeping
    0.74
    kees
    0.73
    cipl
    0.73
    ce
    0.72
    thal
    0.70
    Activations Density 0.007%

    No Known Activations