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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. 23548
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    INDEX
    Explanations

    phrases expressing difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating difficulty or challenges

    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
     Conditions
    -0.73
     Needs
    -0.71
    plates
    -0.70
     embodiments
    -0.68
    Choice
    -0.63
    ERG
    -0.63
     Caller
    -0.63
     Phi
    -0.62
     srfAttach
    -0.62
    leys
    -0.61
    POSITIVE LOGITS
     imagine
    1.32
     reconcile
    1.31
     justify
    1.26
     quantify
    1.24
     distinguish
    1.23
     convince
    1.20
     conceive
    1.18
     discern
    1.16
     argue
    1.12
     envision
    1.10
    Activations Density 0.091%

    No Known Activations