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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. 6-RES-JB
    11. 17628
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    Explanations

    language indicating specificity and detail

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of specifying or detailing information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Think
    -0.76
    tumblr
    -0.70
    assic
    -0.68
    imum
    -0.65
    kt
    -0.64
    Throw
    -0.64
    nee
    -0.61
    irt
    -0.60
    bees
    -0.59
    aturated
    -0.59
    POSITIVE LOGITS
     specifics
    1.28
     nor
    0.95
     details
    0.93
     particulars
    0.90
     formally
    0.84
     specific
    0.83
     definitively
    0.82
     exact
    0.81
     anymore
    0.81
     publicly
    0.80
    Activations Density 0.226%

    No Known Activations