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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. 23374
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    Explanations

    verbs related to taking action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate statistical or analytical trends

    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
    ymm
    -0.64
    yy
    -0.62
     Cosponsors
    -0.61
    MpServer
    -0.60
     GOODMAN
    -0.60
    nen
    -0.59
    ANS
    -0.55
    yg
    -0.54
    oyer
    -0.54
    inth
    -0.53
    POSITIVE LOGITS
     his
    1.41
     her
    1.14
     their
    1.13
    his
    1.09
     its
    0.99
    their
    0.98
     HIS
    0.93
    His
    0.93
     His
    0.90
     theirs
    0.89
    Activations Density 0.618%

    No Known Activations