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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. 8-RES-JB
    11. 10905
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    INDEX
    Explanations

    verbs and adjectives indicating difficulty or hindrance

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing difficulty or challenges related to achieving specific outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plates
    -0.72
     Needs
    -0.69
     teasp
    -0.66
     Flags
    -0.64
    soDeliveryDate
    -0.63
    afety
    -0.63
    minus
    -0.63
     Peaks
    -0.62
    ORN
    -0.62
    ERG
    -0.60
    POSITIVE LOGITS
     achieve
    1.19
     locate
    1.17
     navigate
    1.15
     obtain
    1.14
     distinguish
    1.11
     recover
    1.11
     reproduce
    1.11
     integrate
    1.10
     organize
    1.08
     acquire
    1.08
    Activations Density 0.133%

    No Known Activations