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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. 3-RES-JB
    11. 9465
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    Explanations

    words related to forceful tearing or destruction

    oai_token-act-pair · gpt-3.5-turbo

    instances of the words "ripped" and "tore."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.80
    ingham
    -0.74
     Prospect
    -0.73
    ency
    -0.69
     Administration
    -0.67
     Offline
    -0.66
     Granger
    -0.66
    ENTS
    -0.66
    erver
    -0.65
    QB
    -0.64
    POSITIVE LOGITS
    awed
    0.89
    adoes
    0.87
     ripped
    0.86
     away
    0.81
     apart
    0.80
    owship
    0.79
     holes
    0.77
    weed
    0.76
    nesday
    0.76
     chunks
    0.76
    Activations Density 0.016%

    No Known Activations