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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21739
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    Explanations

    medical terms related to imaging techniques and pathological conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to biological and medical research techniques and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    guard
    -0.68
    lain
    -0.68
    inness
    -0.66
    esson
    -0.66
     allegiance
    -0.65
    inoa
    -0.65
    FUL
    -0.65
    esses
    -0.65
    enhagen
    -0.64
    ingham
    -0.64
    POSITIVE LOGITS
    ascus
    0.81
    ibaba
    0.80
    nec
    0.80
    spect
    0.75
    ctive
    0.74
     antigen
    0.72
    ures
    0.71
    cular
    0.68
    tical
    0.67
    apy
    0.66
    Activations Density 0.067%

    No Known Activations