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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. 5-RES-JB
    6. 3883
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    Explanations

    mentions of people's names or organizations with "pan" in it

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -1.06
    FontSize
    -0.69
    LOAD
    -0.68
    #$#$
    -0.65
    INTON
    -0.64
     Windsor
    -0.64
    Parameters
    -0.64
    GROUP
    -0.64
    Interested
    -0.64
    LET
    -0.61
    POSITIVE LOGITS
    ossom
    0.83
    ieri
    0.78
    amic
    0.75
    ciating
    0.74
    xia
    0.71
    asy
    0.70
    ski
    0.68
    igham
    0.68
    ussen
    0.67
    chlor
    0.65
    Activations Density 0.497%

    No Known Activations