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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. 2-RES-JB
    11. 18403
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    Explanations

    combinations of elements or factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe various combinations of elements or factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ond
    -0.75
    onds
    -0.74
    yers
    -0.73
    ternity
    -0.71
    shr
    -0.70
    artisan
    -0.66
    iak
    -0.66
    si
    -0.65
    oulos
    -0.65
    der
    -0.65
    POSITIVE LOGITS
     combinations
    0.90
     combination
    0.86
     combines
    0.75
    ãĤ«
    0.72
    ãĤ¤ãĥĪ
    0.71
     thereof
    0.70
     combos
    0.69
    ALLY
    0.68
     blends
    0.68
     setups
    0.67
    Activations Density 0.010%

    No Known Activations