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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. 4-RES-JB
    11. 9556
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    Explanations

    phrases or words related to results or consequences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "resulted" indicating consequences or outcomes

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

    No Comments

    Negative Logits
     spaced
    -0.74
    fing
    -0.69
     ut
    -0.67
    mens
    -0.66
    bones
    -0.66
    thur
    -0.66
     craw
    -0.65
     periphery
    -0.64
     spots
    -0.60
    bor
    -0.60
    POSITIVE LOGITS
    interstitial
    0.86
    ĸļ
    0.79
    UE
    0.76
     undone
    0.74
    ebin
    0.72
    swers
    0.72
    LOG
    0.71
    uments
    0.71
    antly
    0.70
    uced
    0.69
    Activations Density 0.020%

    No Known Activations