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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. 22860
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    Explanations

    phrases describing something as being known or recognized for a specific attribute or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating known entities or characteristics

    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
    essim
    -0.67
    uliffe
    -0.63
    case
    -0.60
    erson
    -0.60
    olicy
    -0.59
    ort
    -0.58
    umed
    -0.58
    ulo
    -0.58
     deleg
    -0.58
    udo
    -0.58
    POSITIVE LOGITS
    soType
    0.84
    è¦ļéĨĴ
    0.75
    ãĤ´ãĥ³
    0.74
    igraph
    0.69
     è£ıè
    0.68
    \">
    0.66
     initials
    0.66
    Strike
    0.66
    Ô
    0.64
    CHAT
    0.64
    Activations Density 0.117%

    No Known Activations