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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20849
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    Explanations

    references to specific dates or time periods

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating states or conditions in the present or past tense

    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
    ierrez
    -0.77
    vae
    -0.66
     residues
    -0.65
    arms
    -0.63
    fac
    -0.62
     senses
    -0.61
    inav
    -0.61
    ItemThumbnailImage
    -0.60
     Malf
    -0.58
    Wall
    -0.58
    POSITIVE LOGITS
     testament
    0.84
    LEASE
    0.74
     bitters
    0.73
     etched
    0.71
     littered
    0.68
     postponed
    0.68
     undoubtedly
    0.67
    nt
    0.67
     incom
    0.66
     pivotal
    0.66
    Activations Density 0.269%

    No Known Activations