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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. 7755
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    Explanations

    phrases related to scientific research or analysis

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and their associated usage in the context of scientific or academic writing

    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
     piping
    -0.70
     whip
    -0.69
     wont
    -0.69
     swoop
    -0.69
     icy
    -0.68
     rented
    -0.68
     tricked
    -0.68
     glare
    -0.67
    haps
    -0.67
     tempted
    -0.66
    POSITIVE LOGITS
    see
    1.59
    emphasis
    1.36
    Figure
    1.36
    including
    1.27
    except
    1.22
    such
    1.20
    according
    1.19
    approximately
    1.19
    although
    1.19
    Fig
    1.18
    Activations Density 0.149%

    No Known Activations