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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. 6436
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    Explanations

    contractions of "do" and a following word

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "have" and its related expressions

    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
    taboola
    -0.77
     conduc
    -0.68
    Args
    -0.66
     sidelines
    -0.64
    alties
    -0.63
    artney
    -0.63
    urd
    -0.62
     [|
    -0.62
    ":""},{"
    -0.62
    urden
    -0.62
    POSITIVE LOGITS
     myself
    1.04
     personally
    0.90
     paraph
    0.85
     recommend
    0.79
     my
    0.74
     hereby
    0.74
    hm
    0.73
     admittedly
    0.71
     fond
    0.71
    eeee
    0.71
    Activations Density 0.244%

    No Known Activations