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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. 6-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to collaboration and creation in media production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     peninsula
    -0.66
     Frie
    -0.65
     gou
    -0.64
     Pog
    -0.64
     wo
    -0.63
     tremend
    -0.62
     wax
    -0.62
     tempered
    -0.60
     actu
    -0.59
     gearing
    -0.59
    POSITIVE LOGITS
    ership
    0.91
    cil
    0.88
    reau
    0.80
     Cosponsors
    0.79
    arters
    0.78
    sure
    0.77
    edly
    0.76
    rency
    0.76
    backer
    0.76
    asionally
    0.75
    Activations Density 0.070%

    No Known Activations