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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word "host" accompanied by various contexts or entities

    oai_token-act-pair · gpt-3.5-turbo

    the term "host" used in various contexts and situations

    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
    20439
    -0.81
     Rite
    -0.74
    prints
    -0.73
    utherford
    -0.71
     Bleach
    -0.64
     Dup
    -0.63
    YP
    -0.63
    ++++++++++++++++
    -0.63
    âĨij
    -0.63
    iage
    -0.62
    POSITIVE LOGITS
    esses
    1.07
    ess
    0.97
    ilities
    0.95
    emark
    0.89
     host
    0.87
    name
    0.85
    ility
    0.84
    names
    0.80
    host
    0.77
    rop
    0.74
    Activations Density 0.016%

    No Known Activations