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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. 4-RES-JB
    11. 14652
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    Explanations

    phrases indicating a point in time or situations where a decision or judgment is being considered

    oai_token-act-pair · gpt-3.5-turbo

    references to the current moment or situation

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

    No Comments

    Negative Logits
    ilies
    -0.67
    ratulations
    -0.65
     Lank
    -0.62
    sylv
    -0.62
    ullah
    -0.59
    lections
    -0.59
    isite
    -0.59
     envelop
    -0.58
    orno
    -0.58
     Fargo
    -0.57
    POSITIVE LOGITS
     behest
    1.11
     outset
    0.99
     expense
    0.91
     discretion
    0.84
     helm
    0.82
     glance
    0.82
     intersections
    0.76
     insistence
    0.76
     level
    0.73
     inception
    0.73
    Activations Density 0.195%

    No Known Activations