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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
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    Explanations

    mentions of the term "für"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "für" in various contexts

    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
    ynthesis
    -0.70
    iaries
    -0.69
    regor
    -0.67
    orers
    -0.67
    frey
    -0.65
    anity
    -0.64
    ebus
    -0.62
    ammy
    -0.62
    esses
    -0.62
     Sparrow
    -0.60
    POSITIVE LOGITS
    gency
    0.94
    ãĥī
    0.89
    ü
    0.89
    gew
    0.84
    geon
    0.83
     Ãĸ
    0.78
    ge
    0.77
    ãĥĥ
    0.77
    ür
    0.74
    mingham
    0.74
    Activations Density 0.004%

    No Known Activations