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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. 7-RES-JB
    11. 5146
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    Explanations

    mentions of the Pew Research Center

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Pew Research Center

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -1.06
    yne
    -0.69
    veland
    -0.65
     DRAG
    -0.65
     resonance
    -0.65
     cac
    -0.63
     typing
    -0.62
     inh
    -0.62
     Orbital
    -0.61
     expectancy
    -0.60
    POSITIVE LOGITS
    die
    0.92
    aukee
    0.91
    Die
    0.90
    burgh
    0.87
    bour
    0.86
    ESCO
    0.85
    atile
    0.84
    burg
    0.83
    adra
    0.79
    atche
    0.78
    Activations Density 0.065%

    No Known Activations