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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. 2-RES-JB
    11. 11463
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    Explanations

    terminology related to scientific and chemical processes

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of processes, particularly in scientific and technical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknowled
    -0.75
     earnest
    -0.70
    ged
    -0.67
     railing
    -0.66
    hab
    -0.65
    fed
    -0.65
     cheap
    -0.63
    gged
    -0.63
    aez
    -0.63
    hiro
    -0.61
    POSITIVE LOGITS
     processes
    1.07
    ional
    0.98
     Process
    0.84
    ioned
    0.83
    chnology
    0.82
     process
    0.81
    process
    0.81
    amins
    0.80
    ctl
    0.79
    ions
    0.78
    Activations Density 0.022%

    No Known Activations