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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 10653
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to elements and their functions 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
    âĺħâĺħ
    -0.79
     mamm
    -0.69
     relief
    -0.68
    ×ķ
    -0.65
     spinal
    -0.63
     scratching
    -0.62
     tac
    -0.62
     horn
    -0.60
    feet
    -0.59
     room
    -0.59
    POSITIVE LOGITS
    alist
    1.47
    ary
    1.45
    ality
    1.31
    edIn
    1.30
    alities
    1.29
    al
    1.29
    als
    1.24
    naire
    1.22
    aries
    1.21
    ally
    1.19
    Activations Density 0.068%

    No Known Activations