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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. 10-RES-JB
    11. 1116
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    Explanations

    words related to changes or trends

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative trends or declines across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icum
    -0.60
    Reviewer
    -0.57
    bold
    -0.56
    zac
    -0.55
    Kill
    -0.53
     Camera
    -0.53
    gall
    -0.52
     Typh
    -0.51
     DAV
    -0.51
    uben
    -0.51
    POSITIVE LOGITS
     stems
    1.35
     stemmed
    1.28
     occurs
    1.19
     persists
    1.17
     lasts
    1.15
     manifests
    1.14
     coincides
    1.12
     arises
    1.11
     extends
    1.11
     varies
    1.10
    Activations Density 0.302%

    No Known Activations