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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 5668
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    Explanations

    specific names or entities in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to authority figures or political elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pg
    -0.70
     -->
    -0.69
    Scroll
    -0.69
     Replay
    -0.68
    KR
    -0.67
     GOODMAN
    -0.67
     Doors
    -0.66
    >>
    -0.66
    Secondly
    -0.63
    ouch
    -0.63
    POSITIVE LOGITS
     consolid
    0.80
     indul
    0.72
     hypothes
    0.69
     pione
    0.68
     langu
    0.66
     sleek
    0.65
     relaxing
    0.64
     devoted
    0.64
     ambig
    0.64
     integrating
    0.63
    Activations Density 0.586%

    No Known Activations