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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. 15294
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    INDEX
    Explanations

    phrases prompting action, specifically related to subscribing or notifications

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "me" 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
    iaries
    -0.79
    icion
    -0.68
    orsi
    -0.67
    ieties
    -0.66
    onite
    -0.66
    kefeller
    -0.65
    alist
    -0.61
    Args
    -0.60
    riks
    -0.58
    ranch
    -0.58
    POSITIVE LOGITS
    Interstitial
    0.76
    adow
    0.66
    Widget
    0.64
    puff
    0.64
    lees
    0.62
     âĻ
    0.61
    unes
    0.59
    Mp
    0.59
    zzo
    0.58
     teasp
    0.58
    Activations Density 0.013%

    No Known Activations