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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. 15909
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    INDEX
    Explanations

    instances where something varies or is different from one another

    oai_token-act-pair · gpt-3.5-turbo

    terms related to variation or differences in context

    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
    ×Ļ
    -0.79
    zyk
    -0.73
    ×Ķ
    -0.73
    tur
    -0.72
    clamation
    -0.71
    ablishment
    -0.70
    Gold
    -0.69
    stra
    -0.69
    gary
    -0.67
    tz
    -0.67
    POSITIVE LOGITS
    iating
    0.88
    icult
    0.86
     variations
    0.86
     enormously
    0.84
    ucket
    0.82
    ensical
    0.80
    ially
    0.80
    iator
    0.79
    iations
    0.79
     wildly
    0.76
    Activations Density 0.024%

    No Known Activations