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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. 7-RES-JB
    11. 11259
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    Explanations

    phrases related to obstacles or hindrances

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating obstruction or hindrance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iquette
    -0.85
    ocry
    -0.80
    Sham
    -0.80
    alde
    -0.77
    onyms
    -0.76
    onym
    -0.74
    æ©
    -0.72
    olini
    -0.71
    arse
    -0.71
    ayn
    -0.69
    POSITIVE LOGITS
     digestion
    0.92
     progress
    0.91
    rodu
    0.84
     development
    0.79
     execution
    0.78
     ratification
    0.77
     proceedings
    0.77
     prosecutions
    0.77
     pursuit
    0.76
     access
    0.76
    Activations Density 0.234%

    No Known Activations