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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. 4-RES-JB
    11. 15720
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    Explanations

    the phrase "all too", often followed by an adjective describing a negative situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "too" indicating excessiveness or frequency

    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
    less
    -0.69
    nexus
    -0.67
    ersion
    -0.63
    76561
    -0.63
    é¾
    -0.63
    craft
    -0.62
    hyde
    -0.62
    inates
    -0.60
    estead
    -0.60
    inators
    -0.59
    POSITIVE LOGITS
     distracting
    0.68
     busy
    0.67
     sorely
    0.63
    Reloaded
    0.62
     recogn
    0.62
     haste
    0.59
     far
    0.58
     bright
    0.58
    pes
    0.58
     costly
    0.57
    Activations Density 0.020%

    No Known Activations