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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. 1-RES-JB
    11. 21724
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    Explanations

    phrases related to repeating actions or tasks, particularly in a professional or training context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of repetitions or the term "reps" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OUS
    -0.76
    ous
    -0.73
     Crimes
    -0.68
    FACE
    -0.68
     Spit
    -0.67
     tongues
    -0.64
    lihood
    -0.64
    sea
    -0.64
     Hazel
    -0.63
     Iran
    -0.63
    POSITIVE LOGITS
     tremend
    1.37
     reps
    1.13
    onse
    1.03
    arious
    0.99
     lapt
    0.93
    undown
    0.89
    ensional
    0.87
     destro
    0.86
    arser
    0.85
    arse
    0.84
    Activations Density 0.008%

    No Known Activations