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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. 6-RES-JB
    11. 3028
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    Explanations

    expressions of disappointment or being let down

    oai_token-act-pair · gpt-3.5-turbo

    instances of disappointment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alach
    -0.72
    insula
    -0.70
    natureconservancy
    -0.70
    ittee
    -0.70
    xon
    -0.69
    aucas
    -0.67
    esthetic
    -0.67
    pmwiki
    -0.67
    odynam
    -0.66
    odynamic
    -0.66
    POSITIVE LOGITS
    imaru
    0.87
     disappoint
    0.82
    ments
    0.79
    actory
    0.79
    ãģį
    0.74
     Masquerade
    0.73
     disappointment
    0.73
     ABE
    0.71
    sbm
    0.70
    rous
    0.67
    Activations Density 0.025%

    No Known Activations