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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. 20720
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    hashtags

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of hashtags in the text

    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
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    No Comments

    Negative Logits
    ahime
    -0.70
     weap
    -0.69
     Nort
    -0.66
     veh
    -0.66
     Sov
    -0.66
     horizont
    -0.66
     predec
    -0.63
     colle
    -0.62
     Ortiz
    -0.62
     pestic
    -0.62
    POSITIVE LOGITS
    ########
    1.17
    ################################
    1.17
    ################
    0.97
    ###
    0.88
    region
    0.85
    ANN
    0.83
    why
    0.78
    Reply
    0.77
    !/
    0.76
    Why
    0.74
    Activations Density 0.009%

    No Known Activations