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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. 23645
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    Explanations

    phrases related to beliefs, doubts, and opinions

    oai_token-act-pair · gpt-3.5-turbo

    conversational phrases and expressions of disbelief

    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
     migr
    -0.66
     duplication
    -0.61
     acquisitions
    -0.61
     bottleneck
    -0.61
     heterogeneity
    -0.59
     fruitful
    -0.59
     favourable
    -0.58
     delayed
    -0.57
     raiding
    -0.57
    ebted
    -0.56
    POSITIVE LOGITS
     goddamn
    0.74
     godd
    0.67
    ucker
    0.66
     fucking
    0.63
     Ted
    0.61
    ospel
    0.61
    cipled
    0.60
     YOUR
    0.60
    Fuck
    0.59
     dude
    0.57
    Activations Density 0.706%

    No Known Activations