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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. 9-RES-JB
    11. 18518
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    INDEX
    Explanations

    verbs indicating intensity or strength

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and their associated structures, indicating actions and descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.69
     Helpful
    -0.67
     Angola
    -0.66
    eworthy
    -0.66
     Distance
    -0.64
     Catalyst
    -0.63
    ugal
    -0.63
     Alright
    -0.61
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.60
     Dynamics
    -0.59
    POSITIVE LOGITS
     practically
    0.83
    >]
    0.80
     barely
    0.77
     warrant
    0.76
     unrecogn
    0.76
     scarcely
    0.75
     deserve
    0.75
     hardly
    0.74
     unus
    0.74
     almost
    0.73
    Activations Density 0.094%

    No Known Activations