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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. 24195
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    Explanations

    phrases related to challenges, difficulties, and struggles

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions or struggles related to various challenges

    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
    laughter
    -0.75
    sonian
    -0.67
     Torch
    -0.66
    hor
    -0.66
    acted
    -0.65
    Choice
    -0.63
    auga
    -0.62
     Signal
    -0.61
    RT
    -0.61
     Nope
    -0.61
    POSITIVE LOGITS
     cope
    1.24
     survive
    1.21
     reconcile
    1.20
     conceive
    1.19
     overcome
    1.16
     accommodate
    1.11
     regain
    1.09
     recover
    1.09
     locate
    1.02
     comprehend
    1.02
    Activations Density 0.143%

    No Known Activations