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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. 7-RES-JB
    11. 24574
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    Explanations

    instances of added or inserted text

    oai_token-act-pair · gpt-3.5-turbo

    technical language related to dialogue and communication systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gobl
    -0.65
    é¾
    -0.60
    ModLoader
    -0.60
    kees
    -0.59
    hesda
    -0.58
    zilla
    -0.57
    abama
    -0.57
    slaught
    -0.55
     Pwr
    -0.55
    viron
    -0.55
    POSITIVE LOGITS
     narration
    0.83
     chants
    0.80
     memos
    0.78
     voic
    0.77
    ĸļ
    0.76
     cues
    0.71
     briefings
    0.71
     Morse
    0.70
     greeting
    0.70
     messages
    0.68
    Activations Density 1.163%

    No Known Activations