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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. 11-RES-JB
    11. 16695
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    Explanations

    adjectives that convey strong emotion or intrigue

    oai_token-act-pair · gpt-3.5-turbo

    descriptors that indicate novelty or provoke curiosity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ravings
    -0.88
    Ĥİ
    -0.81
    umers
    -0.81
    packages
    -0.79
    anners
    -0.79
    osponsors
    -0.78
    ngth
    -0.78
    puters
    -0.78
    artney
    -0.77
    obiles
    -0.76
    POSITIVE LOGITS
     anecdote
    1.25
     statistic
    1.23
     distinction
    1.21
     caveat
    1.20
     fact
    1.16
     implication
    1.15
     twist
    1.15
     aspect
    1.15
     conclusion
    1.14
     dich
    1.13
    Activations Density 0.168%

    No Known Activations