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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. 7971
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    oai_token-act-pair · gpt-3.5-turbo

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    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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    Negative Logits
    obook
    -0.69
    chieve
    -0.64
    enance
    -0.64
    irlf
    -0.61
    assadors
    -0.60
    ebted
    -0.58
    ierrez
    -0.57
     Opposition
    -0.57
     parap
    -0.56
    ifts
    -0.55
    POSITIVE LOGITS
    eeee
    0.70
     disapp
    0.67
     ya
    0.65
     awfully
    0.65
     alright
    0.64
     caveat
    0.64
     semantics
    0.62
     ASAP
    0.62
     kinda
    0.62
     dude
    0.61
    Activations Density 0.591%

    No Known Activations