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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. 15275
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    Explanations

    dates and locations mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    instances and contexts of occurrences and events involving "inside" and "response"

    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
     clipboard
    -0.69
     ðŁĺ
    -0.63
     abound
    -0.62
    gif
    -0.61
     cake
    -0.61
    atio
    -0.58
    mentioned
    -0.58
     anytime
    -0.58
    2000
    -0.58
     VIDEOS
    -0.57
    POSITIVE LOGITS
    ipal
    0.79
    osure
    0.77
     Maiden
    0.75
    bernatorial
    0.66
    ISON
    0.66
    riz
    0.64
     Lash
    0.63
     Spokane
    0.63
    sha
    0.62
    erest
    0.62
    Activations Density 0.398%

    No Known Activations