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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. 0-RES-JB
    11. 9599
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    INDEX
    Explanations

    words related to estimating or evaluating something, with a focus on underestimation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to underestimation and exaggeration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Liberty
    -0.75
    hol
    -0.68
     passer
    -0.63
     proceedings
    -0.61
     Motion
    -0.60
     ceremonies
    -0.57
     comb
    -0.57
    lights
    -0.57
    burse
    -0.57
     Flor
    -0.57
    POSITIVE LOGITS
     underestimate
    3.80
     underestimated
    3.79
     underest
    3.69
     overest
    3.42
     exagger
    1.68
     underrated
    1.63
     misunderstood
    1.55
     misunderstand
    1.53
     exaggerated
    1.44
     misunderstanding
    1.38
    Activations Density 0.022%

    No Known Activations