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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. 9828
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    Explanations

    phrases related to question and answer (Q&A) sessions

    oai_token-act-pair · gpt-3.5-turbo

    references to Q&A sessions or formats

    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
    ufact
    -1.02
     fullest
    -0.67
    fell
    -0.66
    flu
    -0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
     phased
    -0.61
    esse
    -0.60
    orescence
    -0.60
    ratom
    -0.59
     endowed
    -0.58
    POSITIVE LOGITS
    FAQ
    0.95
     unanswered
    0.75
    lyak
    0.69
    qs
    0.66
    º
    0.66
     newsp
    0.65
    Stretch
    0.64
    Ps
    0.64
    Tips
    0.62
     explan
    0.62
    Activations Density 0.026%

    No Known Activations