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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. 7-RES-JB
    11. 9372
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    Explanations

    phrases indicating a strong emotional or physical reaction, often linked to being overwhelmed or carried away

    oai_token-act-pair · gpt-3.5-turbo

    terms related to confusion or being overwhelmed in various contexts

    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
     testament
    -0.64
    ibia
    -0.62
     Ng
    -0.58
     Shepherd
    -0.58
     preserve
    -0.58
     Berger
    -0.58
     entirety
    -0.58
     accessed
    -0.56
     Bei
    -0.55
     comprehend
    -0.55
    POSITIVE LOGITS
    retty
    0.86
     sidx
    0.80
    ãĤ¼
    0.75
    arsh
    0.75
    */(
    0.73
    ptin
    0.71
    NRS
    0.71
    ipolar
    0.69
    quished
    0.68
    ãħĭãħĭ
    0.68
    Activations Density 0.104%

    No Known Activations