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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. 10-RES-JB
    11. 8209
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    Explanations

    mentions of different types of jobs and positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of jobs and employment-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ«
    -0.71
    TPPStreamerBot
    -0.65
     infall
    -0.64
     eyes
    -0.62
     Breed
    -0.62
     Nieto
    -0.61
    rium
    -0.60
     Rept
    -0.60
    icons
    -0.59
    vid
    -0.58
    POSITIVE LOGITS
     abroad
    1.10
     overseas
    0.98
     internship
    0.96
     stint
    0.94
     volunteering
    0.91
     elsewhere
    0.89
     specializing
    0.84
     gig
    0.83
     gigs
    0.82
    hare
    0.81
    Activations Density 0.195%

    No Known Activations