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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. 19244
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    INDEX
    Explanations

    mentions of intention or ideation

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to intention and personhood

    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
     straw
    -0.67
     palms
    -0.63
     tops
    -0.61
     hitters
    -0.60
     Springer
    -0.60
     menstrual
    -0.58
     mamm
    -0.58
     cholesterol
    -0.58
     draw
    -0.56
     underest
    -0.56
    POSITIVE LOGITS
    ally
    2.22
    ality
    1.93
    alities
    1.69
    als
    1.57
    alist
    1.54
    nel
    1.49
    al
    1.42
    ately
    1.40
    arily
    1.37
    alis
    1.36
    Activations Density 0.173%

    No Known Activations