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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "connect" along with words related to connections and interactions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "connect"

    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
     Wolf
    -0.69
    Ħ¢
    -0.66
    WAR
    -0.65
    arcity
    -0.65
    VL
    -0.60
     Leaves
    -0.60
     Variety
    -0.58
    --+
    -0.58
    perty
    -0.58
     spoil
    -0.58
    POSITIVE LOGITS
     Connect
    1.07
     dots
    1.00
    Connect
    0.96
     connections
    0.96
     connect
    0.96
    icut
    0.95
    ahime
    0.93
     connects
    0.90
    ioned
    0.89
    connect
    0.89
    Activations Density 0.018%

    No Known Activations