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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
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    Explanations

    places related to a city named "Mad" followed by numbers or other suffixes, such as "Madras" or "Madeline"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Mad" in various contexts

    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
    OPLE
    -1.05
    chnology
    -1.02
     Vaugh
    -0.83
    IDER
    -0.80
    oldown
    -0.79
    kefeller
    -0.77
    ×Ļ×
    -0.75
    çĦ
    -0.74
    LECT
    -0.72
    ylon
    -0.70
    POSITIVE LOGITS
    agascar
    1.04
    hya
    0.96
    rid
    0.96
    der
    0.92
    ras
    0.92
    eline
    0.91
    oka
    0.89
    cap
    0.85
    nit
    0.84
    hur
    0.82
    Activations Density 0.015%

    No Known Activations