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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. 7-RES-JB
    6. 19934
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    Explanations

    terms related to legal cases and representation

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and titles, particularly in a cultural or sporting context

    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
    theless
    -0.72
     shockingly
    -0.67
     disrespect
    -0.67
     surprisingly
    -0.66
     mustache
    -0.63
     moms
    -0.62
     caution
    -0.62
    ccording
    -0.62
     duplication
    -0.60
     tack
    -0.60
    POSITIVE LOGITS
    liga
    0.83
    wagen
    0.82
     qui
    0.79
    arten
    0.74
     Ãī
    0.73
     Translation
    0.72
    orie
    0.72
    usalem
    0.72
    ;;;;;;;;;;;;
    0.71
    ennes
    0.71
    Activations Density 0.235%

    No Known Activations