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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. 11-RES-JB
    11. 23967
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    Explanations

    instances of the word "Mir" along with a following numerical expression

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Mir" and its variations, indicating a focus on a specific name or brand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pearce
    -0.67
     OD
    -0.67
     LCS
    -0.66
     ASC
    -0.64
     practice
    -0.64
     Primordial
    -0.63
     practices
    -0.60
     START
    -0.60
     Prompt
    -0.59
    ential
    -0.59
    POSITIVE LOGITS
    rored
    1.62
    rors
    1.55
    acles
    1.49
    abilia
    1.36
    ror
    1.31
    acle
    1.26
    abella
    1.17
    iam
    1.15
    amar
    1.15
    ROR
    1.05
    Activations Density 0.030%

    No Known Activations