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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. 14196
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    Explanations

    phrases related to the outcomes or potential courses of events

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to the concept of progress or outcomes

    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
    ullah
    -0.82
    theless
    -0.78
    uminati
    -0.65
    eering
    -0.65
    idable
    -0.64
    essor
    -0.61
     elig
    -0.60
     Cumber
    -0.59
    alis
    -0.59
    tymology
    -0.59
    POSITIVE LOGITS
     unnoticed
    1.03
     smoothly
    0.95
     downhill
    0.95
     overboard
    0.91
     viral
    0.89
    lems
    0.88
    Ń·
    0.87
     bye
    0.83
     smoother
    0.82
     stale
    0.81
    Activations Density 0.083%

    No Known Activations