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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4548
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    Explanations

    references to academic years of college students, particularly focusing on the term "freshman."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of students in their freshman year

    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
    ichick
    -0.90
    pots
    -0.86
    anyahu
    -0.76
    igree
    -0.75
    ioned
    -0.75
    leased
    -0.73
    orius
    -0.72
    rosis
    -0.72
    tering
    -0.72
    ainer
    -0.71
    POSITIVE LOGITS
     slump
    0.94
    uates
    0.86
     dorm
    0.86
     freshman
    0.83
     sophomore
    0.80
    omore
    0.79
    arsity
    0.79
     Soph
    0.77
     freshmen
    0.73
     college
    0.72
    Activations Density 0.026%

    No Known Activations