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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. 12886
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    INDEX
    Explanations

    phrases and words related to job interviews and candidate selection

    oai_token-act-pair · gpt-3.5-turbo

    terms related to job applications and auditions

    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
    ijn
    -0.73
    tein
    -0.69
    cart
    -0.69
    icz
    -0.68
    raint
    -0.67
    esm
    -0.66
     analog
    -0.63
    ijk
    -0.62
    Pod
    -0.61
    car
    -0.61
    POSITIVE LOGITS
     applicants
    1.11
     elig
    1.01
     applicant
    0.85
    ees
    0.85
     bids
    0.83
     contestants
    0.82
     listings
    0.82
     candidates
    0.81
     eligibility
    0.81
    daq
    0.80
    Activations Density 0.137%

    No Known Activations