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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. 7360
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    INDEX
    Explanations

    hyphenated words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to negative or adverse events

    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
     caution
    -0.68
     supper
    -0.68
     goddamn
    -0.67
     increment
    -0.67
     increments
    -0.66
     drinks
    -0.66
     ballpark
    -0.64
     recomp
    -0.63
     Norris
    -0.63
     adjustment
    -0.62
    POSITIVE LOGITS
    sama
    1.41
    kun
    1.29
    based
    1.25
    style
    1.23
    derived
    1.22
    san
    1.21
    mediated
    1.16
    induced
    1.16
    vous
    1.15
    clad
    1.13
    Activations Density 0.111%

    No Known Activations