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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. 862
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    Explanations

    instances of the word "Me"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Me."

    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
    pole
    -0.77
     totality
    -0.70
     slic
    -0.67
     corners
    -0.65
    paralle
    -0.64
     legality
    -0.64
    ordinate
    -0.63
    medium
    -0.61
     validity
    -0.61
    Closure
    -0.60
    POSITIVE LOGITS
    asuring
    1.31
    asured
    1.20
    zzo
    1.20
    cca
    1.16
    asure
    1.15
    adow
    1.13
    aning
    1.12
    asures
    1.10
    lda
    1.07
    eker
    1.07
    Activations Density 0.026%

    No Known Activations