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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. 18765
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    Explanations

    phrases related to having something new to offer, achieve, or gain

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating lack of progress or achievement

    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
     majority
    -0.66
    heter
    -0.61
    majority
    -0.61
     Submission
    -0.60
     hemor
    -0.60
    opath
    -0.59
     Bates
    -0.59
    blind
    -0.59
     submission
    -0.58
     occupancy
    -0.58
    POSITIVE LOGITS
     glean
    0.79
    arios
    0.75
     Learned
    0.74
     Done
    0.71
    uable
    0.69
    arthed
    0.68
    itas
    0.66
     Squadron
    0.66
    ortun
    0.66
     besides
    0.64
    Activations Density 0.413%

    No Known Activations