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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. 2-RES-JB
    11. 23746
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    Explanations

    proper nouns, specifically names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals and specific geographical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amina
    -0.76
    iversary
    -0.75
    peed
    -0.72
    taker
    -0.68
    chers
    -0.68
    terson
    -0.67
    lis
    -0.66
    onomy
    -0.66
    âķIJâķIJ
    -0.64
    pee
    -0.64
    POSITIVE LOGITS
    vernment
    0.88
     Gloria
    0.84
     GSL
    0.75
     Gw
    0.73
    estation
    0.68
    ilt
    0.65
    ILLE
    0.64
    HF
    0.64
     Lena
    0.64
    ossip
    0.64
    Activations Density 0.013%

    No Known Activations