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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. 3-RES-JB
    11. 17736
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    INDEX
    Explanations

    adjectives or verbs related to increase or escalation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to increased intensity or severity of situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phis
    -0.81
    ships
    -0.75
    eh
    -0.69
    iop
    -0.68
     Tycoon
    -0.68
    «ĺ
    -0.67
    shake
    -0.67
    esan
    -0.66
     Crusher
    -0.65
    ¤
    -0.64
    POSITIVE LOGITS
     unbeliev
    0.98
     heightened
    0.96
     alarm
    0.96
     awareness
    0.90
     alert
    0.89
     sensitivity
    0.86
     apprehension
    0.85
     alarms
    0.85
     paranoia
    0.81
     scrutiny
    0.80
    Activations Density 0.016%

    No Known Activations