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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. 4-RES-JB
    11. 24356
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    Explanations

    words associated with city locations or names

    oai_token-act-pair · gpt-3.5-turbo

    words that relate to 'ters' or various contexts of frustration or disappointment

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

    No Comments

    Negative Logits
    uncture
    -0.70
    Graphics
    -0.63
     circum
    -0.62
     restraint
    -0.61
    Ĥİ
    -0.61
    ļé
    -0.60
    UTERS
    -0.58
     subdu
    -0.58
     isolate
    -0.58
    AAAAAAAA
    -0.58
    POSITIVE LOGITS
    geist
    1.38
    weet
    1.13
    poon
    0.94
    selves
    0.90
    bilt
    0.88
    witch
    0.87
    peak
    0.86
    mens
    0.86
    pring
    0.85
    rane
    0.85
    Activations Density 0.016%

    No Known Activations