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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. 9100
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    Explanations

    phrases expressing desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or reluctance regarding certain actions or outcomes

    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
    +,
    -0.65
     nodded
    -0.64
    surprisingly
    -0.63
     doubtless
    -0.63
    DragonMagazine
    -0.61
     surprisingly
    -0.60
     Excellent
    -0.58
     respectively
    -0.58
     Included
    -0.58
     ensured
    -0.57
    POSITIVE LOGITS
     anymore
    1.36
     unnecessarily
    1.18
     nor
    1.01
     frivol
    0.91
     prematurely
    0.90
     overly
    0.88
     excuses
    0.87
     negativity
    0.86
     blindly
    0.84
     vain
    0.81
    Activations Density 0.741%

    No Known Activations