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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. 9-RES-JB
    11. 1519
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    Explanations

    phrases related to recruitment and hiring

    oai_token-act-pair · gpt-3.5-turbo

    terms related to recruitment processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Oo
    -0.76
    ijk
    -0.69
    othe
    -0.68
    comb
    -0.67
    rodu
    -0.66
    gard
    -0.65
    fixed
    -0.64
    burst
    -0.63
    plays
    -0.61
    oeuv
    -0.61
    POSITIVE LOGITS
    glers
    0.73
     recruits
    0.71
     recruited
    0.69
    ession
    0.68
    untarily
    0.67
    inen
    0.67
    LES
    0.66
     counselors
    0.66
    ãĥ¼ãĥĨ
    0.65
     recruiting
    0.65
    Activations Density 0.045%

    No Known Activations