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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. 8-RES-JB
    11. 10005
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    Explanations

    terms related to tracking or locating objects or individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to monitoring and surveillance activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahu
    -0.71
    osi
    -0.66
    osate
    -0.64
    annis
    -0.61
     Harbor
    -0.61
    onia
    -0.60
    acco
    -0.60
     Citiz
    -0.59
    atin
    -0.58
    ALLY
    -0.58
    POSITIVE LOGITS
    itored
    0.79
    gered
    0.77
    gers
    0.76
    gat
    0.75
    suit
    0.75
    oleon
    0.74
    record
    0.73
    suits
    0.73
     Tracks
    0.72
     track
    0.72
    Activations Density 0.038%

    No Known Activations