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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. 20286
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    Explanations

    dimensions expressed in the format of two numbers separated by an 'x'

    oai_token-act-pair · gpt-3.5-turbo

    dimensions and measurements expressed in specific units

    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
    éĹĺ
    -0.91
     Pru
    -0.82
    kson
    -0.74
    assetsadobe
    -0.73
    awaru
    -0.72
    blance
    -0.72
    rawdownloadcloneembedreportprint
    -0.72
    EMENT
    -0.72
     Fargo
    -0.71
    kamp
    -0.71
    POSITIVE LOGITS
    yz
    1.15
    xxxxxxxx
    0.97
    posed
    0.93
    xxxx
    0.93
    iang
    0.91
    xxx
    0.88
    xx
    0.84
    actly
    0.83
    avier
    0.82
    iii
    0.78
    Activations Density 0.011%

    No Known Activations