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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. 1-RES-JB
    6. 13647
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    INDEX
    Explanations

    instances where investigations or examinations are being conducted

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "probe" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Extrem
    -0.68
    Present
    -0.63
     compe
    -0.62
     Hurricanes
    -0.62
    awed
    -0.62
    reditary
    -0.61
    perm
    -0.61
    dec
    -0.60
    Production
    -0.60
    Dub
    -0.59
    POSITIVE LOGITS
     probe
    1.36
     probes
    1.25
     Probe
    1.13
     probing
    1.12
     inquiry
    0.86
     investigation
    0.84
     Inquiry
    0.74
     investigating
    0.74
     dred
    0.70
    igate
    0.69
    Activations Density 0.010%

    No Known Activations