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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. 20655
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    Explanations

    negative descriptive adjectives

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing various qualities and characteristics

    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
    appropriately
    -0.85
    Reloaded
    -0.81
    ModLoader
    -0.72
     Kinn
    -0.68
    efully
    -0.67
    imately
    -0.67
    Effective
    -0.66
    fully
    -0.66
    ably
    -0.65
    ependent
    -0.65
    POSITIVE LOGITS
    ness
    1.26
    ities
    0.99
    hander
    0.93
    tions
    0.86
    ity
    0.84
    iary
    0.83
    nesses
    0.82
    ties
    0.80
    NESS
    0.79
    tion
    0.78
    Activations Density 0.408%

    No Known Activations