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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. 10-RES-JB
    11. 5230
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    oai_token-act-pair · gpt-3.5-turbo

    URLs or links related to video content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     derog
    -0.71
     Palest
    -0.67
     pretext
    -0.66
     cler
    -0.62
     subsequent
    -0.61
     dogged
    -0.61
     compensate
    -0.61
     simplified
    -0.60
     loophole
    -0.60
     Levant
    -0.60
    POSITIVE LOGITS
    _-
    1.51
    OY
    1.22
    GY
    1.12
    _
    1.12
    AY
    1.11
    _-_
    1.08
    AAAA
    1.08
    AAA
    1.07
    OX
    1.07
    UA
    1.07
    Activations Density 0.020%

    No Known Activations