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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. 11-RES-JB
    11. 11988
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    Explanations

    verbs related to actions or tasks being performed or carried out

    oai_token-act-pair · gpt-3.5-turbo

    actions and contributions being made in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IE
    -0.74
    eria
    -0.72
    UI
    -0.72
    youtube
    -0.71
    eg
    -0.69
    ocl
    -0.68
    elo
    -0.67
    GROUP
    -0.67
    tg
    -0.66
    pec
    -0.65
    POSITIVE LOGITS
     them
    0.90
     accordingly
    0.82
     instead
    0.79
     homage
    0.76
     untold
    0.72
     unsus
    0.71
     thereby
    0.70
     selfies
    0.70
     him
    0.69
     both
    0.69
    Activations Density 0.333%

    No Known Activations