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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. 7178
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    Explanations

    phrases related to dealing with challenges or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with managing or dealing with challenges

    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
    lav
    -0.79
    prints
    -0.77
    eneg
    -0.75
    enic
    -0.69
    ended
    -0.67
    database
    -0.66
    hem
    -0.65
    hemy
    -0.65
    nesty
    -0.64
    ################################
    -0.63
    POSITIVE LOGITS
    heet
    0.82
     adequately
    0.81
    ively
    0.78
     cope
    0.77
     arrang
    0.74
     appropriately
    0.70
     alright
    0.69
    atives
    0.69
     coping
    0.69
    atively
    0.68
    Activations Density 0.030%

    No Known Activations