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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. 22419
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    Explanations

    instances where something is clearly indicated or can be easily seen

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express clarity or obviousness

    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
    zanne
    -0.72
    uden
    -0.67
    atern
    -0.66
    axter
    -0.66
    berman
    -0.63
    aird
    -0.62
     sacked
    -0.62
    utsch
    -0.62
    ammy
    -0.62
    toe
    -0.61
    POSITIVE LOGITS
    iary
    1.35
    ial
    0.84
     Signs
    0.81
    aneously
    0.76
     evident
    0.74
     defic
    0.73
    icity
    0.72
    ively
    0.71
    alty
    0.70
    iated
    0.70
    Activations Density 0.016%

    No Known Activations