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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. 4-RES-JB
    6. 21603
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    Explanations

    references to small, miniature versions of objects or spaces

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "mini" or miniature concepts

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

    No Comments

    Negative Logits
    âķIJâķIJ
    -0.78
    Ö¼
    -0.77
    xual
    -0.70
    yer
    -0.69
    lain
    -0.67
    rer
    -0.66
     defe
    -0.63
    itbart
    -0.63
    mingham
    -0.63
     depl
    -0.61
    POSITIVE LOGITS
    ature
    1.32
    atur
    1.21
    atures
    1.07
    ocular
    0.88
    eco
    0.83
     sized
    0.79
    oby
    0.77
    ota
    0.77
    atomic
    0.76
    isode
    0.75
    Activations Density 0.010%

    No Known Activations