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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. 3-RES-JB
    11. 20457
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    Explanations

    references to a process gradually introduced or carried out over time

    oai_token-act-pair · gpt-3.5-turbo

    terms related to stages or processes in systematic frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Raider
    -0.83
     Canary
    -0.77
     Aval
    -0.73
    ents
    -0.71
    arte
    -0.70
    lake
    -0.69
     Holland
    -0.67
     Angels
    -0.67
     Connor
    -0.66
    Parents
    -0.65
    POSITIVE LOGITS
     phased
    0.97
    iple
    0.86
    etsk
    0.82
     phon
    0.81
    etheless
    0.78
    arthed
    0.76
    etically
    0.74
     timet
    0.71
    cone
    0.71
     staggered
    0.71
    Activations Density 0.023%

    No Known Activations