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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. 7-RES-JB
    11. 15697
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    Explanations

    phrases indicating progression or change over time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progression or change over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.63
    otos
    -0.56
    ociate
    -0.56
    izons
    -0.53
    anwhile
    -0.53
     Odyssey
    -0.52
    76561
    -0.52
    feld
    -0.52
     respectively
    -0.51
    oway
    -0.49
    POSITIVE LOGITS
     raining
    0.94
     impossible
    0.71
     easy
    0.67
     easier
    0.62
     downhill
    0.60
     uphill
    0.59
     ironic
    0.58
     funny
    0.57
     safe
    0.55
     obvious
    0.55
    Activations Density 0.599%

    No Known Activations