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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. 6-RES-JB
    6. 24121
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    Explanations

    images or photos mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    mentions of emotional states or reactions

    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
    aterasu
    -0.72
    hement
    -0.67
    #$
    -0.67
    sic
    -0.66
    oway
    -0.65
    staking
    -0.64
    heit
    -0.63
    rand
    -0.60
    aturdays
    -0.58
     fors
    -0.56
    POSITIVE LOGITS
    Balt
    0.62
    endra
    0.60
    misc
    0.57
    STR
    0.57
     Shutterstock
    0.55
     Conway
    0.54
     Swordsman
    0.54
     ILCS
    0.54
     playback
    0.54
    Anonymous
    0.54
    Activations Density 0.052%

    No Known Activations