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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. 6-RES-JB
    11. 799
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    INDEX
    Explanations

    mentions of a "probe" in relation to exploration or investigation

    oai_token-act-pair · gpt-3.5-turbo

    references to exploration or investigation

    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
    iana
    -0.71
    birth
    -0.66
    licks
    -0.66
     compe
    -0.64
    opher
    -0.64
     Clown
    -0.63
    AMES
    -0.63
     Theft
    -0.62
    arus
    -0.62
    ership
    -0.61
    POSITIVE LOGITS
     probing
    1.18
     probe
    1.04
     probes
    0.98
     Probe
    0.91
     inquiry
    0.86
     questioning
    0.75
     gauge
    0.75
     investigating
    0.75
     inquire
    0.73
    agher
    0.72
    Activations Density 0.015%

    No Known Activations