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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. 7-RES-JB
    11. 19953
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    INDEX
    Explanations

    mentions of hosting or being a host

    oai_token-act-pair · gpt-3.5-turbo

    the word "host" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rite
    -0.80
     Dup
    -0.65
    YP
    -0.65
    onne
    -0.64
    prints
    -0.61
    20439
    -0.61
     McKenna
    -0.60
    iage
    -0.60
     Schr
    -0.59
    âĨij
    -0.57
    POSITIVE LOGITS
    esses
    1.21
    ess
    1.05
    name
    0.97
    emark
    0.96
    ilities
    0.94
    ility
    0.92
    names
    0.91
    el
    0.84
    ivity
    0.80
    els
    0.76
    Activations Density 0.033%

    No Known Activations