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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. 8-RES-JB
    11. 20101
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    Explanations

    phrases related to construction or assembly

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or characters in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -1.13
     discrep
    -0.76
     hindsight
    -0.73
     GOODMAN
    -0.73
     antioxid
    -0.71
    ĨĴ
    -0.71
     variance
    -0.70
     fortun
    -0.67
     princ
    -0.67
     coincide
    -0.66
    POSITIVE LOGITS
    igans
    0.93
    ¯
    0.86
     knows
    0.85
    said
    0.83
    ates
    0.82
    ctic
    0.82
    xi
    0.80
     deserves
    0.79
    mma
    0.78
    tsy
    0.78
    Activations Density 0.168%

    No Known Activations