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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. 9-RES-JB
    11. 18005
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    Explanations

    words related to negative actions or behaviors, particularly involving illegal or immoral conduct

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "snub" in various forms and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heid
    -0.89
     Britann
    -0.69
    xual
    -0.68
    shire
    -0.65
     Feld
    -0.64
     limited
    -0.61
    EMENT
    -0.61
    FORM
    -0.60
     [|
    -0.59
     Coalition
    -0.58
    POSITIVE LOGITS
    appy
    1.27
    ipes
    1.23
    uggle
    1.23
    arling
    1.22
    atches
    1.21
    ickers
    1.19
    appers
    1.18
    agging
    1.18
    igger
    1.18
    iping
    1.16
    Activations Density 0.028%

    No Known Activations